ludwig
Ludwig provides a low-code environment to create tailored AI models such as LLMs and neural networks with ease. The framework uses a declarative YAML-based configuration, supporting features like multi-task and multi-modality learning. Designed for scalable efficiency, it includes tools like automatic batch size selection and distributed training options like DDP and DeepSpeed. With hyperparameter tuning and model explainability, users have detailed control, along with a modular and extensible structure for different model architectures. Ready for production, Ludwig integrates Docker, supports Kubernetes with Ray, and offers model exports to Torchscript and Triton.
